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Content Provider | IEEE Xplore Digital Library |
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Author | Heeyun Lee Yeong-il Park Suk Won Cha |
Copyright Year | 2015 |
Description | Author affiliation: Dept. of Mech. Syst. Design Eng., Seoul Nat. Univ. of Sci. & Technol., Seoul, South Korea (Yeong-il Park) || Dept. of Mech. & Aerosp. Eng., Seoul Nat. Univ., Seoul, South Korea (Heeyun Lee; Suk Won Cha) |
Abstract | This paper is concerned with power management strategy of hybrid electric vehicle. Dynamic programming based power split ratio line control strategy is studied for parallel type hybrid electric vehicle to improve fuel economy performance. Dynamic programming, one of the optimization based control strategy, is powerful tool to provide optimal solution for hybrid electric vehicle's power management problem. However, it is considered not implementable as real time control strategy due to its non-causal property. Recently, as global positioning systems and intelligent transportation systems facilitate the prediction of future driving cycle, power management strategy using this information becomes available. On the assumption that future driving cycle is given, power management strategy using this information is studied. Backward vehicle simulation with dynamic programming is used to extract information about optimal control policy from defined driving cycle information. The interpreted result is applied to parameter of power split ratio line control strategy. The strategy is evaluated on simulation using parallel type hybrid electric vehicle on diverse driving cycles and shows improved fuel economy performance compared with rule based control strategy. |
Starting Page | 1739 |
Ending Page | 1742 |
File Size | 1319026 |
Page Count | 4 |
File Format | |
ISSN | 20937121 |
e-ISBN | 9788993215083 |
DOI | 10.1109/ICCAS.2015.7364645 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2015-10-13 |
Publisher Place | South Korea |
Access Restriction | Subscribed |
Rights Holder | Institute of Control, Robotics and Systems - ICROS |
Subject Keyword | Power demand Optimal control dynamic programming hybrid electric vehicle Batteries power management strategy Yttrium Vehicle dynamics power split ratio Engines Vehicles |
Content Type | Text |
Resource Type | Article |
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